Papers
Differentially Private Empirical Risk Minimization under the Fairness Lens
Cuong Tran, My Dinh, Ferdinando Fioretto
Differentially Private Federated Bayesian Optimization with Distributed Exploration
Zhongxiang Dai, Bryan Kian Hsiang Low, Patrick Jaillet
Differentially Private Learning with Adaptive Clipping
Galen Andrew, Om Thakkar, Brendan McMahan et al.
Differentially Private Model Personalization
Prateek Jain, John Rush, Adam Smith et al.
Differentially Private Multi-Armed Bandits in the Shuffle Model
Jay Tenenbaum, Haim Kaplan, Yishay Mansour et al.
Differentially Private n-gram Extraction
Kunho Kim, Sivakanth Gopi, Janardhan Kulkarni et al.
Differentially Private Sampling from Distributions
Sofya Raskhodnikova, Satchit Sivakumar, Adam Smith et al.
Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings
Raef Bassily, Cristóbal Guzmán, Michael Menart
Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent
Rishav Chourasia, Jiayuan Ye, Reza Shokri
Differential Privacy Over Riemannian Manifolds
Matthew Reimherr, Karthik Bharath, Carlos Soto
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal, Alexander Nichol
Diffusion Normalizing Flow
Qinsheng Zhang, Yongxin Chen
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling
Valentin De Bortoli, James Thornton, Jeremy Heng et al.
Dimensionality Reduction for Wasserstein Barycenter
Zachary Izzo, Sandeep Silwal, Samson Zhou
Dimension-free empirical entropy estimation
Doron Cohen, Aryeh Kontorovich, Aaron Koolyk et al.
Directed Graph Contrastive Learning
Zekun Tong, Yuxuan Liang, Henghui Ding et al.
Directed Probabilistic Watershed
Enrique Fita Sanmartin, Sebastian Damrich, Fred A. Hamprecht
Directed Spectrum Measures Improve Latent Network Models Of Neural Populations
Neil Gallagher, Kafui Dzirasa, David E. Carlson
Directional Message Passing on Molecular Graphs via Synthetic Coordinates
Johannes Gasteiger, Chandan Yeshwanth, Stephan Günnemann
Direct Multi-view Multi-person 3D Pose Estimation
tao wang, Jianfeng Zhang, Yujun Cai et al.
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
Kaixiong Zhou, Xiao Huang, Daochen Zha et al.
Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation
Ying Sun, Hengshu Zhu, Chuan Qin et al.
Discovering and Achieving Goals via World Models
Russell Mendonca, Oleh Rybkin, Kostas Daniilidis et al.
Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks
Iulia Duta, Andrei Nicolicioiu, Marius Leordeanu
Discovery of Options via Meta-Learned Subgoals
Vivek Veeriah, Tom Zahavy, Matteo Hessel et al.